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AI/ML Engineering Principal

1 month ago

Belfast, United Kingdom newscientist - Jobboard Full time
Unlock the Power of AI/ML Engineering

Rapid7 is revolutionizing the field of cybersecurity with the establishment of our AI Centre of Excellence in Belfast. As a leader in the industry, we're leveraging AI to accelerate threat investigation, detection, and response capabilities of our Security Operations Centre (SOC) for both conventional networks and cloud environments. The AI race to stay ahead of attackers is on, and we need experts who can optimize D&R with AI that can identify signals in a sea of noise.

We're seeking a Principal AI/ML Engineer to join our team and help define and deliver an MLOps strategy for our growing AI team. You will work closely with our AI R&D team to take models from development to production, ensuring repeatable deployment, monitoring, and observability patterns. In this role, you will combine your expertise in AI/ML deployments, cloud systems, and software engineering to enhance our product offerings and streamline our platform's functionalities.

Key responsibilities include:
  • Designing and implementing scalable AI/ML systems for production environments
  • Developing and deploying LLMs, managing advanced compute resources like GPUs, and navigating data collection for metrics and fine-tuning from LLM-based systems
  • Collaborating with the AI R&D team to take models from development to production
  • Maintaining high standards of engineering hygiene, embracing best practices and an agile development mindset
Requirements:
  • Expertise in ML deployment, especially in AWS, and software engineering
  • Experience as a software engineer, notably in building APIs and/or interfaces, paired with adept coding skills in Python
  • Possess adeptness in containerization and DevOps
  • Experience deploying LLMs, managing advanced compute resources like GPUs, and navigating data collection for metrics and fine-tuning from LLM-based systems
Preferred qualifications include:
  • Previous experience with NLP and ML models, understanding their operational frameworks and limitations
  • Proficiency in implementing model risk management strategies, including model registries, concept/covariate drift monitoring, and hyperparameter tuning
  • Strong communication skills, with the ability to explain complex AI/ML concepts to both technical and non-technical stakeholders